OpenAI compatible API · Attested · Public status

NVIDIA: Nemotron 3 Ultra vs Qwen3 235B A22B Instruct 2507

NVIDIA: Nemotron 3 Ultra vs Qwen3 235B A22B Instruct 2507: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

Qwen3 235B A22B Instruct 2507 has the lower cheapest prompt+completion route on TrustedRouter. Qwen3 235B A22B Instruct 2507 has more provider fallback routes, while NVIDIA: Nemotron 3 Ultra has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Ultra with the lower p50 TTFT.

$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route
$0.6752/1MQwen3 235B A22B Instruct 2507 cheapest route
1108 msNVIDIA: Nemotron 3 Ultra fastest measured p50 TTFT via fireworks
2924 msQwen3 235B A22B Instruct 2507 fastest measured p50 TTFT via scaleway

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

NVIDIA: Nemotron 3 UltraQwen3 235B A22B Instruct 2507
Model idnvidia/nemotron-3-ultra-550b-a55bqwen/qwen3-235b-a22b-instruct-2507
AI IQ
Context262,144 tokens131,072 tokens
Credits provider routes56
Cheapest route$2.79575/1M$0.6752/1M
Cached input$0.1055/1M to $0.1266/1M$0.024265/1M
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT1108 ms via fireworks2924 ms via scaleway
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

NVIDIA: Nemotron 3 Ultra routes

Qwen3 235B A22B Instruct 2507 routes

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Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython
client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-ultra-550b-a55b",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3 Ultra or Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 has the lower cheapest prompt+completion route on TrustedRouter. Qwen3 235B A22B Instruct 2507 has more provider fallback routes, while NVIDIA: Nemotron 3 Ultra has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Ultra with the lower p50 TTFT.

Is NVIDIA: Nemotron 3 Ultra or Qwen3 235B A22B Instruct 2507 cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for NVIDIA: Nemotron 3 Ultra and $0.6752/1M for Qwen3 235B A22B Instruct 2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Ultra or Qwen3 235B A22B Instruct 2507 faster?

Current measured p50 time to first token is 1108 ms for NVIDIA: Nemotron 3 Ultra and 2924 ms for Qwen3 235B A22B Instruct 2507. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3 Ultra and Qwen3 235B A22B Instruct 2507 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between nvidia/nemotron-3-ultra-550b-a55b and qwen/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.

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